Instructions to use context-sbf/charm-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use context-sbf/charm-small with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("context-sbf/charm-small") model = AutoModelForSeq2SeqLM.from_pretrained("context-sbf/charm-small", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from context-sbf/charm-small: direct link, hf CLI and curl.
- Browser
- Download file 308 MB
-
https://huggingface.co/context-sbf/charm-small/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://context-sbf/charm-small/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/context-sbf/charm-small/resolve/main/pytorch_model.bin
308 MB
- Xet hash:
- 199316edce1e4c371539f5397af090a445a0b61ecb5b1179ee4ba89d356b093d
- Size of remote file:
- 308 MB
- SHA256:
- db758d9efde95f04eb2c97a0e8a44a052b72c18a45f4d316c26a54d0a9eda9fe
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